"""simple docstring"""



import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__magic_name__     					=       get_tests_dir("fixtures/test_sentencepiece.model")

@require_sentencepiece
@require_tokenizers
class SCREAMING_SNAKE_CASE  (     snake_case__ ,   unittest.TestCase						):







 """simple docstring"""


 a_							:						List[Any]	      =XGLMTokenizer
 a_							:						Optional[int]	      =XGLMTokenizerFast
 a_							:						Optional[Any]	      =True
 a_							:						Any	      =True


 def 							_lowerCAmelCase					( self		:   Tuple					)					->      Optional[int]:




    '''simple docstring'''






    super().setUp()

    # We have a SentencePiece fixture for testing
    a__  					=		XGLMTokenizer(_UpperCAmelCase       , keep_accents=_UpperCAmelCase					)
    tokenizer.save_pretrained(self.tmpdirname					)


 def 							_lowerCAmelCase					( self		:   Union[str, Any]					)					->      Dict:




    '''simple docstring'''






    a__  					=		'<pad>'
    a__  					=		1

    self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase					)       , _UpperCAmelCase					)
    self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase					)       , _UpperCAmelCase					)


 def 							_lowerCAmelCase					( self		:   Optional[Any]					)					->      str:




    '''simple docstring'''






    a__  					=		list(self.get_tokenizer().get_vocab().keys()					)

    self.assertEqual(vocab_keys[0]       , '<s>'					)
    self.assertEqual(vocab_keys[1]       , '<pad>'					)
    self.assertEqual(len(_UpperCAmelCase					)       , 1008					)


 def 							_lowerCAmelCase					( self		:   Any					)					->      Union[str, Any]:




    '''simple docstring'''






    self.assertEqual(self.get_tokenizer().vocab_size       , 1008					)


 def 							_lowerCAmelCase					( self		:   List[str]					)					->      Union[str, Any]:




    '''simple docstring'''






    a__  					=		XGLMTokenizer(_UpperCAmelCase       , keep_accents=_UpperCAmelCase					)

    a__  					=		tokenizer.tokenize('This is a test'					)
    self.assertListEqual(_UpperCAmelCase       , ['▁This', '▁is', '▁a', '▁t', 'est']					)

    self.assertListEqual(
        tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)       , [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]       , )

    a__  					=		tokenizer.tokenize('I was born in 92000, and this is falsé.'					)
    self.assertListEqual(
        _UpperCAmelCase       , [
            SPIECE_UNDERLINE + 'I',
            SPIECE_UNDERLINE + 'was',
            SPIECE_UNDERLINE + 'b',
            'or',
            'n',
            SPIECE_UNDERLINE + 'in',
            SPIECE_UNDERLINE + '',
            '9',
            '2',
            '0',
            '0',
            '0',
            ',',
            SPIECE_UNDERLINE + 'and',
            SPIECE_UNDERLINE + 'this',
            SPIECE_UNDERLINE + 'is',
            SPIECE_UNDERLINE + 'f',
            'al',
            's',
            'é',
            '.',
        ]       , )
    a__  					=		tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)
    self.assertListEqual(
        _UpperCAmelCase       , [
            value + tokenizer.fairseq_offset
            for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
        ]       , )

    a__  					=		tokenizer.convert_ids_to_tokens(_UpperCAmelCase					)
    self.assertListEqual(
        _UpperCAmelCase       , [
            SPIECE_UNDERLINE + 'I',
            SPIECE_UNDERLINE + 'was',
            SPIECE_UNDERLINE + 'b',
            'or',
            'n',
            SPIECE_UNDERLINE + 'in',
            SPIECE_UNDERLINE + '',
            '<unk>',
            '2',
            '0',
            '0',
            '0',
            ',',
            SPIECE_UNDERLINE + 'and',
            SPIECE_UNDERLINE + 'this',
            SPIECE_UNDERLINE + 'is',
            SPIECE_UNDERLINE + 'f',
            'al',
            's',
            '<unk>',
            '.',
        ]       , )


 @cached_property
 def 							_lowerCAmelCase					( self		:   Tuple					)					->      Tuple:




    '''simple docstring'''






    return XGLMTokenizer.from_pretrained('facebook/xglm-564M'					)


 def 							_lowerCAmelCase					( self		:   Tuple					)					->      List[str]:




    '''simple docstring'''






    with tempfile.NamedTemporaryFile() as f:
       shutil.copyfile(_UpperCAmelCase       , f.name					)
       a__  					=		XGLMTokenizer(f.name       , keep_accents=_UpperCAmelCase					)
       a__  					=		pickle.dumps(_UpperCAmelCase					)
    pickle.loads(_UpperCAmelCase					)


 def 							_lowerCAmelCase					( self		:   Tuple					)					->      Optional[int]:




    '''simple docstring'''






    if not self.test_rust_tokenizer:
       return

    a__  					=		self.get_tokenizer()
    a__  					=		self.get_rust_tokenizer()

    a__  					=		'I was born in 92000, and this is falsé.'

    a__  					=		tokenizer.tokenize(_UpperCAmelCase					)
    a__  					=		rust_tokenizer.tokenize(_UpperCAmelCase					)
    self.assertListEqual(_UpperCAmelCase       , _UpperCAmelCase					)

    a__  					=		tokenizer.encode(_UpperCAmelCase       , add_special_tokens=_UpperCAmelCase					)
    a__  					=		rust_tokenizer.encode(_UpperCAmelCase       , add_special_tokens=_UpperCAmelCase					)
    self.assertListEqual(_UpperCAmelCase       , _UpperCAmelCase					)

    a__  					=		self.get_rust_tokenizer()
    a__  					=		tokenizer.encode(_UpperCAmelCase					)
    a__  					=		rust_tokenizer.encode(_UpperCAmelCase					)
    self.assertListEqual(_UpperCAmelCase       , _UpperCAmelCase					)


 @slow
 def 							_lowerCAmelCase					( self		:   Optional[Any]					)					->      int:




    '''simple docstring'''






    a__  					=		'Hello World!'
    a__  					=		[2, 3_1227, 4447, 35]

    self.assertListEqual(_UpperCAmelCase       , self.big_tokenizer.encode(_UpperCAmelCase					)					)


 @slow
 def 							_lowerCAmelCase					( self		:   List[Any]					)					->      List[str]:




    '''simple docstring'''






    a__  					=		(
        'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
        ' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'
    )
    # fmt: off
    a__  					=		[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 7_1630, 2_8085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 1_3675, 377, 652, 7580, 1_0341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 20_2277, 1_7892, 33, 60, 87, 4, 3234, 157, 61, 2667, 5_2376, 19, 88, 23, 735]
    # fmt: on

    self.assertListEqual(_UpperCAmelCase       , self.big_tokenizer.encode(_UpperCAmelCase					)					)



 @slow
 def 							_lowerCAmelCase					( self		:   Optional[Any]					)					->      List[Any]:




    '''simple docstring'''






    a__  					=		{
        'input_ids': [[2, 10_8825, 1163, 15, 8_8010, 473, 1_5898, 157, 1_3672, 1857, 312, 8, 23_8021, 1163, 53, 1_3672, 1857, 312, 8, 5_3283, 18_2396, 8, 1_8566, 16, 3_6733, 4101, 8, 230, 24_4017, 12_2553, 7, 15, 13_2597, 4, 293, 1_2511, 7610, 4, 3414, 13_2597, 9, 4, 3_2361, 362, 4, 734, 2_8512, 3_2569, 18, 4, 3_2361, 2_6096, 1_4982, 73, 1_8715, 2_1433, 23_5261, 15, 492, 1_2427, 16, 53, 1_8715, 2_1433, 6_5454, 15, 2_3659, 563, 16, 278, 597, 2843, 595, 7931, 18_2396, 6_4186, 22, 886, 595, 13_2981, 53, 2_5540, 3449, 4_3982, 3_9901, 5951, 878, 330, 4, 2_7694, 8_0269, 312, 53, 6517, 1_1780, 611, 2_0408, 5], [2, 6, 13_2597, 67, 4_2897, 33, 592, 8, 16_3729, 2_5540, 361, 13_6997, 10_9514, 17_3230, 7, 501, 60, 10_2913, 196, 5631, 235, 6_3243, 473, 6, 23_1757, 74, 5277, 7905, 53, 3095, 3_7317, 22, 454, 18_3874, 5], [2, 268, 3_1298, 4_6530, 6, 13_2935, 4_3831, 7, 597, 32, 24, 3688, 9865, 5]],
        'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
    }  # noqa: E501
    # fmt: on

    self.tokenizer_integration_test_util(
        expected_encoding=_UpperCAmelCase       , model_name='facebook/xglm-564M'       , padding=_UpperCAmelCase       , )







'''simple docstring'''

from timeit import timeit






def 				a  (     UpperCamelCase_    :    int			)       ->	int:
		if number < 0:
				raise ValueError('the value of input must not be negative'			)
		snake_case__	     =0
		while number:
				number &= number - 1
				result += 1
		return result






def 				a  (     UpperCamelCase_    :    int			)       ->	int:
		if number < 0:
				raise ValueError('the value of input must not be negative'			)
		snake_case__	     =0
		while number:
				if number % 2 == 1:
						result += 1
				number >>= 1
		return result






def 				a  (     )       ->	None:

		def do_benchmark(UpperCamelCase_    :    int			) -> None:
				snake_case__	     ='import __main__ as z'
				print(f"""Benchmark when {number = }:"""			)
				print(f"""{get_set_bits_count_using_modulo_operator(UpperCamelCase_			) = }"""			)
				snake_case__	     =timeit('z.get_set_bits_count_using_modulo_operator(25)'      ,					setup=UpperCamelCase_			)
				print(f"""timeit() runs in {timing} seconds"""			)
				print(f"""{get_set_bits_count_using_brian_kernighans_algorithm(UpperCamelCase_			) = }"""			)
				snake_case__	     =timeit(
				    'z.get_set_bits_count_using_brian_kernighans_algorithm(25)'      ,					setup=UpperCamelCase_      ,					)
				print(f"""timeit() runs in {timing} seconds"""			)

		for number in (25, 37, 58, 0):
				do_benchmark(UpperCamelCase_			)
				print()


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			benchmark()




